4.6 Article

A geological database for parameterization in numerical modeling of subsurface storage in northern Germany

Journal

ENVIRONMENTAL EARTH SCIENCES
Volume 71, Issue 5, Pages 2227-2244

Publisher

SPRINGER
DOI: 10.1007/s12665-013-2627-1

Keywords

Porosity; Permeability; Mineralogy; Reservoir; Spatial variability; North German Basin; Saline aquifers

Funding

  1. German Federal Ministry of Education and Research (BMBF)
  2. EnBW Energie Baden-Wurttemberg AG
  3. E. ON Energie AG
  4. E. ON Gas Storage AG
  5. RWE Dea AG
  6. Vattenfall Europe Technology Research GmbH

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Underground land use can play a significant role in future concepts of energy and gas storage and requires an improved understanding of the parameters of potential storage formations (saline aquifers), for instance of porosity and permeability, and also of mineralogical and gas compositions. This study aims at providing data examples and calculating vertical spatial variations through variogram analyses of important North German geological reservoirs from Dogger, Rhaetian, Middle Buntsandstein, and Rotliegend (Sub)Groups and Formations, focusing on the western part of the North German Basin. Vertical correlation lengths of porosity and permeability data range between 0 and 30 m, while most results are calculated at approximately 2-4 m and do not show relevant differences among the evaluated formations. In the majority of the regarded formations, the Kozeny-Carman relationship between porosity and permeability is supported as long as low porosity and permeability values are excluded from the evaluation. Mineral percentages varied significantly among the evaluated sediments. Besides quartz, ankerite is the main compound in the Dogger Group, while feldspars and clay minerals were more frequent in the Rhaetian, Middle Buntsandstein, and Rotliegend sediments. Methane was the main gas compound in the reservoirs, followed by nitrogen, ethane, and carbon dioxide. This study serves as preparatory work to allow for the parameterization of geological models and a subsequent simulation of fluid transport to evaluate (long-term) safety and impacts of geothermal and gas storage projects.

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